2.50
Hdl Handle:
http://hdl.handle.net/2436/620403
Title:
A Single Chip System for Sensor Data Fusion Based on a Drift-diffusion Model
Authors:
Yang, Shufan ( 0000-0003-0531-2903 ) ; Wong-Lin, Kongfatt; Rano, Inaki; Lindsay, Anthony
Abstract:
Current multisensory system face data communication overhead in integrating disparate sensor data to build a coherent and accurate global phenomenon. We present here a novel hardware and software co-design platform for a heterogeneous data fusion solution based on a perceptual decision making approach (the drift-diffusion model). It provides a convenient infrastructure for sensor data acquisition and data integration and only uses a single chip Xilinx ZYNQ-7000 XC7Z020 AP SOC. A case study of controlling the moving speed of a single ground-based robot, according to physiological states of the operator based on heart rates, is conducted and demonstrates the possibility of integrated sensor data fusion architecture. The results of our DDM-based data integration shows a better correlation coefficient with the raw ECG signal compare with a simply piecewise approach.
Citation:
Intelligent Systems Conference (IntelliSys) 2017, London, UK. IEEE. 4 pp.
Publisher:
IEEE
Issue Date:
2017
URI:
http://hdl.handle.net/2436/620403
Additional Links:
http://saiconference.com/IntelliSys2017
Type:
Meetings and Proceedings
Language:
en
ISSN:
tbc
Appears in Collections:
Computational Linguistics Group

Full metadata record

DC FieldValue Language
dc.contributor.authorYang, Shufanen
dc.contributor.authorWong-Lin, Kongfatten
dc.contributor.authorRano, Inakien
dc.contributor.authorLindsay, Anthonyen
dc.date.accessioned2017-03-07T14:51:49Z-
dc.date.available2017-03-07T14:51:49Z-
dc.date.issued2017-
dc.identifier.citationIntelligent Systems Conference (IntelliSys) 2017, London, UK. IEEE. 4 pp.en
dc.identifier.issntbcen
dc.identifier.urihttp://hdl.handle.net/2436/620403-
dc.description.abstractCurrent multisensory system face data communication overhead in integrating disparate sensor data to build a coherent and accurate global phenomenon. We present here a novel hardware and software co-design platform for a heterogeneous data fusion solution based on a perceptual decision making approach (the drift-diffusion model). It provides a convenient infrastructure for sensor data acquisition and data integration and only uses a single chip Xilinx ZYNQ-7000 XC7Z020 AP SOC. A case study of controlling the moving speed of a single ground-based robot, according to physiological states of the operator based on heart rates, is conducted and demonstrates the possibility of integrated sensor data fusion architecture. The results of our DDM-based data integration shows a better correlation coefficient with the raw ECG signal compare with a simply piecewise approach.en
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urlhttp://saiconference.com/IntelliSys2017en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectsensor-on-chipen
dc.subjectdata fusionen
dc.subjectZYNQen
dc.titleA Single Chip System for Sensor Data Fusion Based on a Drift-diffusion Modelen
dc.typeMeetings and Proceedingsen
dc.date.accepted2017-01-20-
rioxxterms.funderASURen
rioxxterms.identifier.project1014-C4-Ph1-071en
rioxxterms.versionAMen
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
rioxxterms.licenseref.startdate2018-03-01en
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